Sentence examples for data computing power from inspiring English sources

The exponential increase in data, computing power and the availability of readily accessible analytical software has allowed organisations around the world to leverage the benefits of integrating multiple heterogeneous data files for enterprise-level planning and decision making.

Cloud computing offers massively scalable, elastic resources (e.g., data, computing power, and services) over the internet from remote data centres to the consumers.

It's all about sensors, data, computing power, and connectivity and ultimately the security of that data and those connections, which can either take us all to the next level of a brave new technological world, or plunge us into chaos.

One of the most fascinating themes of the emerging digital world is the way in which this perfect confluence of the tsunami of data, computing power and AI can be harnessed for societal good.

In the past few decades, technological advances have produced a flood of genetic data, computing power has exploded, and scientists have developed new mathematical algorithms for building phylogenies or evolutionary trees.

AI may be the future of medicine, he says, helping humanity live longer through better diagnostics and information enabled by big data computing power.

The keys to building accurate learning systems are large volumes of quality data, compute power, and tools.

Digital Epidemiology is a new field that has been growing rapidly in the past few years, fueled by the increasing availability of data and computing power, as well as by breakthroughs in data analytics methods.

Projects on this scale have only recently become possible thanks to the enormous increase in data, greater computing power, and new ways of doing statistical analyses, according to Peter Speyer, data director at IMHE. "The technology was not advanced enough even five years ago to have an easy way to visualise all this data," he says.

Data and computing power will be shared in vast global 'collaboratories,' in which individual researchers won't necessarily know whose data their hypotheses are being tested against, or in which country a computer is running their calculations.

To build TimesMachine, we needed two things: data and computing power.